| import os |
| from test.conftest import test_files_path, test_outputs_path |
|
|
| import numpy as np |
| import pytest |
| from PIL import Image |
|
|
|
|
| @pytest.mark.usefixtures("initialize") |
| @pytest.mark.parametrize("restorer_name", ["gfpgan", "codeformer"]) |
| def test_face_restorers(restorer_name): |
| from modules import shared |
|
|
| if restorer_name == "gfpgan": |
| from modules import gfpgan_model |
| gfpgan_model.setup_model(shared.cmd_opts.gfpgan_models_path) |
| restorer = gfpgan_model.gfpgan_fix_faces |
| elif restorer_name == "codeformer": |
| from modules import codeformer_model |
| codeformer_model.setup_model(shared.cmd_opts.codeformer_models_path) |
| restorer = codeformer_model.codeformer.restore |
| else: |
| raise NotImplementedError("...") |
| img = Image.open(os.path.join(test_files_path, "two-faces.jpg")) |
| np_img = np.array(img, dtype=np.uint8) |
| fixed_image = restorer(np_img) |
| assert fixed_image.shape == np_img.shape |
| assert not np.allclose(fixed_image, np_img) |
| Image.fromarray(fixed_image).save(os.path.join(test_outputs_path, f"{restorer_name}.png")) |
|
|